| 1 |
Smart Information Exchange for Unsupervised Federated Learning via Reinforcement Learning |
提出基于强化学习的智能信息交换以解决无监督联邦学习问题 |
reinforcement learning |
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| 2 |
Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment |
提出Rewards-in-Context以解决多目标对齐问题 |
reinforcement learning large language model foundation model |
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| 3 |
Universal Black-Box Reward Poisoning Attack against Offline Reinforcement Learning |
提出通用黑箱奖励中毒攻击以解决离线强化学习安全问题 |
reinforcement learning offline RL offline reinforcement learning |
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| 4 |
Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts |
提出风险敏感的软演员评论家以应对分布变化问题 |
reinforcement learning deep reinforcement learning |
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| 5 |
Enhancing Courier Scheduling in Crowdsourced Last-Mile Delivery through Dynamic Shift Extensions: A Deep Reinforcement Learning Approach |
通过动态班次延长提升众包最后一公里配送调度效率 |
reinforcement learning deep reinforcement learning |
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| 6 |
Reward Generalization in RLHF: A Topological Perspective |
提出奖励泛化理论以解决RLHF中的数据效率问题 |
reinforcement learning preference learning RLHF |
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| 7 |
Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling |
提出层次状态空间模型以解决连续序列预测问题 |
Mamba state space model |
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| 8 |
Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation |
提出自我对弈微调方法以提升扩散模型的文本到图像生成能力 |
reinforcement learning RLHF large language model |
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| 9 |
Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization |
提出基于策略优化的RLHF算法以提高数据利用效率 |
reinforcement learning RLHF |
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| 10 |
Interpretable Imitation Learning via Generative Adversarial STL Inference and Control |
提出基于生成对抗网络的可解释模仿学习方法以解决任务理解问题 |
imitation learning |
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| 11 |
Large Scale Constrained Clustering With Reinforcement Learning |
提出基于强化学习的约束聚类方法以解决资源分配问题 |
reinforcement learning |
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| 12 |
$f$-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning |
提出$f$-MICL以解决InfoNCE对比学习的局限性 |
contrastive learning |
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| 13 |
Non-orthogonal Age-Optimal Information Dissemination in Vehicular Networks: A Meta Multi-Objective Reinforcement Learning Approach |
提出一种元多目标强化学习方法以优化车载网络中的信息传播 |
reinforcement learning |
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| 14 |
Recurrent Reinforcement Learning with Memoroids |
提出Memoroids框架以提升递归强化学习的样本效率 |
reinforcement learning |
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| 15 |
Performative Reinforcement Learning in Gradually Shifting Environments |
提出渐变环境下的表演强化学习框架以解决动态变化问题 |
reinforcement learning |
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| 16 |
Knowledge-guided EEG Representation Learning |
提出知识引导的自监督学习模型以提升EEG信号分析 |
representation learning |
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| 17 |
Discrete Probabilistic Inference as Control in Multi-path Environments |
提出生成流网络以解决多路径环境中的离散概率推断问题 |
reinforcement learning flow matching |
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